Evolution prediction of unconventional emergencies via neural network: An empirical study of megacities-Reference-Cited by-同舟云学术

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Evolution prediction of unconventional emergencies via neural network: An empirical study of megacities

Published:2019-10 Issue: Volume:39 Page:101243
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Chen Ning,Zhou Dan,Ma Yingchao,Chen An

Funder

China Earthquake Administration

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology

Reference53 articles.

1. Managing Crises: Responses to Large-Scale Emergencies;Howitt,2009

2. J. Du. Unconventional emergency system characteristics and emergency decision-making analysis;Li;Procedia Eng.,2014

3. Planning for the unconventional emergency;Joseph;J. AWWA (Am. Water Works Assoc.),2016

4. Quick tips Technology of unconventional emergency based on ontology network analysis;Li;Oper. Res. Manag. Sci.,2017

5. Construction of emergency decision model based on situation predictions;Yang;Stat. Decis.,2018

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1. Generating textual emergency plans for unconventional emergencies — A natural language processing approach;Safety Science;2023-04

2. Machine Learning for Emergency Management: A Survey and Future Outlook;Proceedings of the IEEE;2023-01

3. Working in the Metaverse: Does Telework in a Metaverse Office Have the Potential to Reduce Population Pressure in Megacities? Evidence from Young Adults in Seoul, South Korea;Sustainability;2022-03-19

4. BP Neural Network for Typhoon Warning and Prevention for Historical Buildings;Arabian Journal for Science and Engineering;2022-01-05

5. On Allocation Approach of Emergency Resource of Disaster in Narrow Non-Exposed Space Based on Risk Assessment;SSRN Electronic Journal;2022

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